Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks
In Internet of Things (IoT) enabled Wireless Sensor Networks (WSNs), there are two major factors which degrade the performance of the network. One is the void hole which occurs in a particular region due to unavailability of forwarder nodes. The other is the presence of energy hole which occurs due...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/7/1677 |
| _version_ | 1798005815117873152 |
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| author | Zahid Wadud Nadeem Javaid Muhammad Awais Khan Nabil Alrajeh Mohamad Souheil Alabed Nadra Guizani |
| author_facet | Zahid Wadud Nadeem Javaid Muhammad Awais Khan Nabil Alrajeh Mohamad Souheil Alabed Nadra Guizani |
| author_sort | Zahid Wadud |
| collection | DOAJ |
| description | In Internet of Things (IoT) enabled Wireless Sensor Networks (WSNs), there are two major factors which degrade the performance of the network. One is the void hole which occurs in a particular region due to unavailability of forwarder nodes. The other is the presence of energy hole which occurs due to imbalanced data traffic load on intermediate nodes. Therefore, an optimum transmission strategy is required to maximize the network lifespan via hole alleviation. In this regard, we propose a heterogeneous network solution that is capable to balance energy dissipation among network nodes. In addition, the divide and conquer approach is exploited to evenly distribute number of transmissions over various network areas. An efficient forwarder node selection is performed to alleviate coverage and energy holes. Linear optimization is performed to validate the effectiveness of our proposed work in term of energy minimization. Furthermore, simulations are conducted to show that our claims are well grounded. Results show the superiority of our work as compared to the baseline scheme in terms of energy consumption and network lifetime. |
| first_indexed | 2024-04-11T12:46:15Z |
| format | Article |
| id | doaj.art-47dd142d20884deaa65e5cd98802bc9c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:46:15Z |
| publishDate | 2017-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-47dd142d20884deaa65e5cd98802bc9c2022-12-22T04:23:21ZengMDPI AGSensors1424-82202017-07-01177167710.3390/s17071677s17071677Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor NetworksZahid Wadud0Nadeem Javaid1Muhammad Awais Khan2Nabil Alrajeh3Mohamad Souheil Alabed4Nadra Guizani5University of Engineering & Technology, Peshawar 25000, PakistanCOMSATS Institute of Information Technology, Islamabad 44000, PakistanCOMSATS Institute of Information Technology, Islamabad 44000, PakistanBiomedical Technology, Department College of Applied Medical Sciences, King Saud University, Riyadh 11633, Saudi ArabiaBiomedical Technology, Department College of Applied Medical Sciences, King Saud University, Riyadh 11633, Saudi ArabiaDepartment of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USAIn Internet of Things (IoT) enabled Wireless Sensor Networks (WSNs), there are two major factors which degrade the performance of the network. One is the void hole which occurs in a particular region due to unavailability of forwarder nodes. The other is the presence of energy hole which occurs due to imbalanced data traffic load on intermediate nodes. Therefore, an optimum transmission strategy is required to maximize the network lifespan via hole alleviation. In this regard, we propose a heterogeneous network solution that is capable to balance energy dissipation among network nodes. In addition, the divide and conquer approach is exploited to evenly distribute number of transmissions over various network areas. An efficient forwarder node selection is performed to alleviate coverage and energy holes. Linear optimization is performed to validate the effectiveness of our proposed work in term of energy minimization. Furthermore, simulations are conducted to show that our claims are well grounded. Results show the superiority of our work as compared to the baseline scheme in terms of energy consumption and network lifetime.https://www.mdpi.com/1424-8220/17/7/1677Internet of Things Wireless Sensor Networks (IoTWSNs)traffic loadenergy consumptionenergy holenetwork lifetimeEnd2End Delay (E2ED)routinglinear programming |
| spellingShingle | Zahid Wadud Nadeem Javaid Muhammad Awais Khan Nabil Alrajeh Mohamad Souheil Alabed Nadra Guizani Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks Sensors Internet of Things Wireless Sensor Networks (IoTWSNs) traffic load energy consumption energy hole network lifetime End2End Delay (E2ED) routing linear programming |
| title | Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks |
| title_full | Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks |
| title_fullStr | Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks |
| title_full_unstemmed | Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks |
| title_short | Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks |
| title_sort | lifetime maximization via hole alleviation in iot enabling heterogeneous wireless sensor networks |
| topic | Internet of Things Wireless Sensor Networks (IoTWSNs) traffic load energy consumption energy hole network lifetime End2End Delay (E2ED) routing linear programming |
| url | https://www.mdpi.com/1424-8220/17/7/1677 |
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